• Korean Journal of Food Science and Technology
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• v.40 no.6
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• pp.717-720
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• 2008

In this study, the geographical origin of beef was studied using an electronic nose based on mass spectrometer. Domestic beef was compared with the imported beef from New Zealand and Australia. Each sample was analyzed, and discriminant function analysis was used utilized for the discrimination of geographical origin. The $R^2$ and F-value of discriminant function analysis (DFA)1 were 0.4317 and 14.18, respectively when the samples were separated by geographical origin. The $R^2$ and F-value of DFA1 were 0.8960 and 22.98, respectively when the samples were separated by part of beef.

• Journal of the Korean Geographical Society
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• v.1
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• pp.50-66
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• 1963

• Journal of the Korean Geographical Society
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• v.29
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• pp.48-71
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• 1984

• Food Science and Industry
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• v.54 no.4
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• pp.268-277
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• 2021

A geographical indication (GI) is a sign used on products that have a specific geographical origin and possess qualities or a reputation that are due to that origin. This paper explores ways to protect Korean goods as GIs in the U.S. and EU by examining the efforts of the Colombian Coffee Federation (FNC) to protect Colombian coffee. The FNC enhanced the global awareness of Colombian coffee and increased the profits of Colombian coffee producers by registering Colombian coffee as a certification mark in the U.S. and as a GI under the EU's quality schemes. The Korean government protects kimchi under its own GI system. For kimchi products to earn the label "Korean kimchi," the three main ingredients must be produced in Korea. This has been a challenge for kimchi producers, who often rely on imported ingredients. Korea could learn from FNC's strategies to improve the current GI system for kimchi.

• Korean Journal of Food Science and Technology
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• v.48 no.5
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• pp.418-423
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• 2016

This study was conducted to identify the geographical origin of soybeans in Cheonggukjang by analyzing its organic components and inorganic elements with Fourier transform near-infrared spectroscopy (FT-NIRS) and with energy dispersive X-ray fluorescence (ED-XRF) coupled with multivariate statistical analysis. For method development, 280 samples from various regions were collected and analyzed. The discriminant accuracy for the developed methods was 97.5% for FT-NIRS and 98.0% for ED-XRF with multivariate statistical analysis. A validation test confirmed the discriminant accuracy to be 96.3% for FT-NIRS and 95.0% for ED-XRF. Overall, the results showed that methods using FT-NIRS and ED-XRF could be used to identify the geographical origin of Cheonggukjang.

• Korean Journal of Pharmacognosy
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• v.44 no.4
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• pp.344-349
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• 2013

Near infrared spectroscopy (NIRS) combined with multivariate analysis was used to discriminate the geographical origin of Alisma orientale from Korea (n=94) and China (n=72). Two-thirds of samples were selected randomly for the training set, and one-third of samples for the test set. Second derivative was used for the pretreatment of NIR spectra. Partial least square discriminant analysis (PLS-DA) models correctly discriminated 100% of the Korean and Chinese A. orientale samples. These results demonstrate the potential use of NIR spectroscopy combined with multivariate analysis as a rapid and accurate method to discriminate A. orientale according to their geographical origin.

• Applied Biological Chemistry
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• v.46 no.4
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• pp.380-384
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• 2003

Optimal extraction, separation and capillary rinsing conditions for capillary electrophoresis (CE) were established to discriminate the geographical origin of ligusticum root (Ligusticum wallichii) using 113 samples (domestic sample n = 62, foreign sample n = 51). Ligusticum root was extracted with 30% ethanol and separated on a uncoated fused-silica $(50\;{\mu}m{\times}27\;cm)$ capillary. Conditions for optimal analysis include: temperature, $40^{\circ}C$; voltage, 10 kV; and pressure injection time, domestic and foreign samples were 5 sec and 2 sec, respectively. The optimal separation buffer was 0.1 M phosphate buffer (pH 2.5) containing 15 mM iminodiacetic acid with 40% methanol. Under the optimal conditions established for CE, the ratio of specific peak area (peak LW-1) to other peak area (peak LW-5) was effective in discrimination geographical origin of ligusticum root. The mean accuracy for correct discrimination of geographical origin of domestic and foreign ligusticum roots were 65% and 63%, respectively.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.2
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• pp.75-83
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• 2019

Using geographical indication, a type of source identification, can effectively promote local specialty agricultural products of superior quality, by identifying the specific geographic location or origin of the produce. Agricultural products can be registered using the geographical indication by describing the product's relation to its geographical origin including the reputation and quality. However, this indication has no objective standards to qualify goods as agricultural specialty products. The purpose of this study is to suggest basic criteria to define the characteristics and criteria of agricultural specialties based on a quantitative evaluation method. To propose this basic standard, we used the proportion of arable land to denote the major production areas and the location quotient (LQ) index to grasp the extent of the specialty of a product. The results show that the average LQ values of registered agricultural products, particularly apples, pears, and garlic, are 3.26, 8.01, and 2.82, respectively. This indicates that they are more specialized than produce from other areas that have not registered for a geographical indication. Low LQ values were found in some areas with registered rice geographical indications, which are also more focused on their historical reputation as the main rice producing areas. Considering the agricultural specialty of products, the recommendation is that the producing proportion should be over 1% of the national scale and over 10% of the province scale, and the LQ value should be over 2.0. This recommendation is not a requirement, but the criteria can prove to be useful in identifying a higher range of specialized agricultural products.

• Proceedings of the KGS Conference
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• 2006.06a
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• pp.86-88
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• 2006

• KOREAN JOURNAL OF CROP SCIENCE
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• v.57 no.3
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• pp.296-300
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• 2012

Discrimination of geographic origin of agricultural products is a important issue in Korea because the price difference between Korean domestic and imported cereals is a key among some reasons. NIRS (Near Infrared Reflectance Spectroscopy) has been applied to classify the geographical origin of soybeans. Total 135 samples (Korean domestic 92 and foreign 43) were used to obtain calibration equation through 400~2,500 nm wavelength. The math treatment with 1st derivative and 4 nm gap and the modified partial least squares(MPLS)regression was outstanding for calibration equation. The standard error of calibration and determination coefficient in calibration set(n=115) was 6.65 and 0.98, respectively. And it showed that the extra 20 samples for validation equation were identified their authentication correctly. This study describes that the application of NIRS would be possible for discrimination of geographical origin between Korean domestic and imported soybeans.